Quick explanation: One-hot encoding

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Quick explanation: One-hot encoding

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Күн бұрын

What is one-hot encoding?
It is a way to feed categorical data to Machine Learning models.
Why do we use one-hot encoding?
Because Machine Learning models cannot handle categorical data in its raw form.
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Пікірлер: 16

@tarek_maza 4 ай бұрын

Short, sweet, and straight to the point! Great job

@Harirtaylorversion 5 ай бұрын

what a time to be alive, my lady!

@SyntharaPrime Жыл бұрын

Hello Mısra. I discovered you through your videos on AssemblyAI. Thank you for your fluent and comprehensible way of teaching. It is very clear that you put a lot of effort into the content. I wish you all the best.

@misraturp Жыл бұрын

Thank you so much for your support, Ilkay!

@BigBrainHacks 5 ай бұрын

Love your videos! Please keep doing what you do...+10 karma points.

@carlasanchez4349 Жыл бұрын

Thank you for this clear and short video

@LadoKaladzeDev 11 ай бұрын

Short and simple Thank you !

@efeincir3254 10 ай бұрын

Great and simplest explanation

@bakaresegun4180 Жыл бұрын

You are really amazing ❤️❤️❤️. Please when should we use label encoding and one-hot encoding? And however, what's the effect of dummy variables in the dimensionality since it creates more dimensions?

@bay-bicerdover Жыл бұрын

not necessarily